Kyle Marcus

According to our database1, Kyle Marcus authored at least 9 papers between 2014 and 2020.

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Bibliography

2020
NeuroKube: An Automated and Autoscaling Neuroimaging Reconstruction Framework using Cloud Native Computing and A.I.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
OS-Based Energy Accounting for Asynchronous Resources in IoT Devices.
IEEE Internet Things J., 2019

Toward a Methodology and Framework for Workflow-Driven Team Science.
Comput. Sci. Eng., 2019

Towards A Methodology and Framework for Workflow-Driven Team Science.
CoRR, 2019

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data.
Proceedings of the 15th International Conference on eScience, 2019

2016
OS-based Resource Accounting for Asynchronous Resource Use in Mobile Systems.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

2015
Enabling Automated, Rich, and Versatile Data Management for Android Apps with BlueMountain.
Proceedings of the 7th USENIX Workshop on Hot Topics in Storage and File Systems, 2015

2014
Comprehensive, open-source resource usage measurement and analysis for HPC systems.
Concurr. Comput. Pract. Exp., 2014


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